Principal AI Product Manager

Experience: Not Available to Not Available years

Location: Greater Noida, India

Skills: Product discovery, roadmap definition, backlog prioritization, analytical skills, data-driven decision-making, AI fundamentals, ML fundamentals, GenAI fundamentals, cloud platforms, responsible AI principles, GenAI platforms, LLM integration, A/B testing, experimentation frameworks, data instrumentation, telemetry, usage analytics, metric-driven iteration, compliance, governance, enterprise AI safety

Job Summary
Product Strategy & Management Roles: That drives product evolution through requirement gathering, understanding needs of client, and enable feature development in platforms and tools by working in tandem with engineering & solution architect.
Job Summary Drive the vision, roadmap, and delivery of AI‑powered capabilities by defining clear problem statements, success metrics, and customer value. Partner closely with engineering, architecture, research, and go‑to‑market teams to build responsible, scalable products that enable measurable business outcomes and adoption across internal and external stakeholders.

Key Responsibilities
Roles & Responsibilities
Define product vision, strategy, and problem statements grounded in user workflows and measurable outcomes
Create PRDs, user stories, acceptance criteria, and maintain a clear, prioritized backlog
Lead release planning, stakeholder alignment, and cross‑functional decision‑making
Work with architects and engineers to translate requirements into scalable AI/ML/GenAI capabilities
Partner with GTM teams for enablement, adoption, usage analytics, and customer feedback loops
Analyze data, telemetry,



and experiments to guide prioritization and evaluate feature impact
Ensure features meet responsible AI, compliance, security, and governance requirements
Collaborate with research teams to shape model behavior, evaluation metrics, and iterative refinement
Communicate progress, risks, and product insights across leadership and customer teams

Skill Requirements
Key Skills (Mandatory)
Product discovery, roadmap definition, and backlog/prioritization discipline
Strong analytical and data‑driven decision‑making
Explicit stakeholder and cross‑functional communication skills
Understanding of AI/ML/GenAI fundamentals, cloud platforms, and responsible AI principles

Key Skills (Desirable)
Hands‑on exposure to GenAI platforms, LLM integration, or evaluation workflows
A/B testing, experimentation frameworks, and data instrumentation
Telemetry, usage analytics, and metric‑driven iteration
Familiarity with compliance, governance, and enterprise AI safety requirements

Other Requirements
Experience Requirements Owns a product or major workstream end‑to‑end—defining vision, shaping requirements, aligning roadmap to KPIs, and collaborating across engineering, design, architecture, research, and GTM teams to drive adoption, measurable outcomes, and responsible AI integration.
Career Development & Mobility AI Product Managers who develop strong technical fluency, platform understanding, and data‑driven decision‑making can progress into Solution or Technical Architecture roles, Customer‑Facing FDE roles, or Technical Product Strategy leadership. With deeper exposure to model behavior, evaluation, and GenAI system design, PMs can also transition into Applied Research or Platform teams driving AI capability roadmaps and experimentation frameworks.

📌 Principal AI Product Manager (Noida)
🏢 HCL Technologies
📍 Noida